Dror Zuckerman
Impact in
- Software top 2%
- Software Reliability and Analysis Research
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- Reliability and Maintenance Optimization
Papers in
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- Reliability and Maintenance Optimization 21
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- Economic theories and models 11
- Co-authors
- Wolfgang Stadje (8 shared papers)Daniel Granot (1 shared paper)Charles S. Tapiero (5 shared papers)M. J. M. Posner (6 shared papers)Yishay Spector (1 shared paper)Yehuda Kahane (1 shared paper)Eugene Levner (1 shared paper)Jehoshua Eliashberg (1 shared paper)
- Journals
- Journal of Applied Probability (19 papers)Advances in Applied Probability (4 papers)Operations Research Letters (4 papers)Operations Research (3 papers)Stochastic Processes and their Applications (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Dror Zuckerman
50 papers receiving 657 citations
Peers
Comparison fields: 5 of 57
- Software 220
- Safety, Risk, Reliability and Quality 360
- Statistics and Probability 248
- Statistics, Probability and Uncertainty 109
- Management Information Systems 110
Countries citing papers authored by Dror Zuckerman
This map shows the geographic impact of Dror Zuckerman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dror Zuckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dror Zuckerman more than expected).
Fields of papers citing papers by Dror Zuckerman
This network shows the impact of papers produced by Dror Zuckerman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dror Zuckerman. The network helps show where Dror Zuckerman may publish in the future.
Co-authors
The 8 scholars most cited alongside Dror Zuckerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 82 | |
| 2 | 1991 | 53 | |
| 3 | 1978 | 44 | |
| 4 | 1991 | 39 | |
| 5 | 1978 | 38 | |
| 6 | 1977 | 32 | |
| 7 | 1977 | 27 | |
| 8 | 1977 | 25 | |
| 9 | 1992 | 23 | |
| 10 | 1987 | 21 | |
| 11 | 1980 | 17 | |
| 12 | 1986 | 17 | |
| 13 | 1990 | 15 | |
| 14 | 1980 | 15 | |
| 15 | 1983 | 14 | |
| 16 | 1980 | 12 | |
| 17 | 1978 | 12 | |
| 18 | 1996 | 12 | |
| 19 | 1984 | 12 | |
| 20 | 1986 | 12 |
About Dror Zuckerman
Dror Zuckerman is a scholar working on Safety, Risk, Reliability and Quality, Economics and Econometrics, Management Science and Operations Research, Software and Management Information Systems, having authored 52 papers that have together received 706 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (21 papers), Software Reliability and Analysis Research (13 papers), Economic theories and models (11 papers), Statistical Distribution Estimation and Applications (10 papers), Consumer Market Behavior and Pricing (9 papers), Auction Theory and Applications (8 papers), Advanced Queuing Theory Analysis (7 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Software (220 citations), Safety, Risk, Reliability and Quality (360 citations), Statistics and Probability (248 citations), Statistics, Probability and Uncertainty (109 citations) and Management Information Systems (110 citations). Dror Zuckerman has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Wolfgang Stadje, Daniel Granot, Charles S. Tapiero, M. J. M. Posner, Yishay Spector, Yehuda Kahane, Eugene Levner and Jehoshua Eliashberg. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, Operations Research Letters, Operations Research and Stochastic Processes and their Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.